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davidgut1982/lore-mcp

by Various

Advanced MCP server for unified knowledge management with PostgreSQL+pgvector, knowledge graphs, research workflows, and Claude Code integration

MCP

davidgut1982/lore-mcp

Added 7 June 2026

#ai-agents #claude #devops #homelab #knowledge-management #llm #mcp #mcp-server

Overview

An open-source MCP server that unifies knowledge management using PostgreSQL with pgvector for vector storage, knowledge graphs, and research workflows. It integrates with Claude Code to provide context-aware assistance during development sessions.

Best for

Best for
Developers using Claude Code who want a centralized, searchable knowledge base with vector and graph capabilities

Use cases

  • Store and query project documentation with semantic search
  • Manage research notes with vector similarity and graph relationships
  • Inject relevant context into Claude Code conversations

How to use

Install

pip install lore-knowledge-mcp[semantic]

Tools exposed

  • LORE_SEMANTIC_SEARCH
  • LORE_SEARCH_MODE_DEFAULT
  • LORE_EMBEDDING_MODEL
  • LORE_RRF_K
  • kb_add
  • kb_search
  • kb_get
  • kb_get_batch
  • kb_list
  • kb_update
  • kb_delete
  • kb_backfill_embeddings
  • kb_embedding_status
  • investigation_add
  • investigation_list
  • investigation_get
  • investigation_log_experiment
  • investigation_list_experiments
  • investigation_delete_note
  • investigation_delete_experiment

Tested with

Claude Desktop, Claude Code

Notes

An open-source MCP server that unifies knowledge management using PostgreSQL with pgvector for vector storage, knowledge graphs, and research workflows. It integrates with Claude Code to provide context-aware assistance during development sessions.

2 stars on GitHub. Last updated 2026-06-02. Licensed MIT.

Use cases

  • Store and query project documentation with semantic search
  • Manage research notes with vector similarity and graph relationships
  • Inject relevant context into Claude Code conversations

Pros

  • Combines vector search, graph storage, and research workflows in one server
  • Leverages PostgreSQL and pgvector for scalable, well-supported infrastructure
  • Open-source Python implementation that is extensible and auditable

Cons

  • Requires separate PostgreSQL instance with pgvector extension
  • Low GitHub stars suggest limited community adoption and potential instability
  • Tightly coupled to Claude Code; may not work as smoothly with other MCP clients

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Combines vector search, graph storage, and research workflows in one server
  • Leverages PostgreSQL and pgvector for scalable, well-supported infrastructure
  • Open-source Python implementation that is extensible and auditable

Cons

  • Requires separate PostgreSQL instance with pgvector extension
  • Low GitHub stars suggest limited community adoption and potential instability
  • Tightly coupled to Claude Code; may not work as smoothly with other MCP clients

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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